triangulationalgorithms

matlab图像配准 红外可见光图像配准的详细方法 (matlab Visible Infrared image registration image registration detailed methodology)

自适应滤波法做预测，并对预测结果，相对误差进行数据可视化，预测结果很准确(Adaptive filter prediction and forecast results, the relative error for data visualization, very accurate prediction results)

matlab实现PCA进行的人脸识别源程序，基本的功能实现，做为基础(matlab realize PCA for face recognition source code, the basic function of the realization, as a basis for)

数据挖掘K－平均算法的MATLAB程序，效果一般(Data Mining K-average algorithm MATLAB procedures, the effect of general)

smartmarket Matlab file

FSK调制解调器CMX469程序，实测可用(FSK modem CMX469 program, the measured available)

IMF法用作轴承故障检测程序，含所需方程m文件及图像文件(Copyright (c) 2012, Santhana Raj All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIM)

说明：  利用类间方差阈值算法实现图像的分割处理；利用形态学处理进行处理结果修正。 (Threshold using Otsu algorithm image segmentation use of morphological processing for processing the results of correction.)

（1） 数据源：随机产生752*8bit作为数据源 （2） 按照DTMB的能量扩散初始相位和生成多项式来产生伪随机数据并对原始数据源进行加扰 （3） 加扰后的数据直接进行解扰，观察误码率的值，验证加扰算法 （4） 按照DTMB标准构造BCH（1023，1013）来实现BCH（762，752）信道编码器和解码器，并观察其误码率是否为0来验证其正确性。 （5） 最后把能量扩散和BCH编码级联，接收端把BCH解码和解扰级联，观察其误码率，验证正确性。 ((1) Source: randomly generated 752* 8bit as data source (2) in accordance with the energy of the initial phase and the diffusion DTMB generator polynomial to generate a pseudo-random data and the original data source scramble (3) the scrambled data is directly descramble, the bit error rate of the observed values, verification scrambling algorithm (4) In accordance with DTMB standard configuration BCH (1023,1013) to achieve the BCH (762,752) channel encoder and decoder and observe its error rate is 0 to verify its correctness. (5) Finally, the energy dispersal and BCH coding cascade, the receiving end of the BCH decoding and descrambling cascade observed error rate, to verify the correctness.)

third development test